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System Intelligence, powered by Graph Engineering, transforms how we coordinate multiple LLM agents to tackle complex tasks that exceed the capacity of individual intelligence.
AFANet achieves high accuracy in agent failure attribution with a fraction of the computational resources required by traditional LLM-based methods.
Long-horizon LLM agents can achieve 96.9% task success by learning to adapt their external execution support through trainable harness policies.
